Speaker
Description
Abstract: - The aim of this study is to analyze the effects of additive manufacturing (AM) best practices on supply chain (SC) performance. The study developed conceptual framework with four AM best practices as independent variables and five SC performance measuring factors as dependent variables. To test the developed model and hypothesis data’s has been collected from 129 respondents from 29 footwear industries in Ethiopia. AMOS v.23 is used to test model fit with confirmatory factor analysis (CFA) (c2/df, RMSEA, CFI, GFI, RMR, Tucker-Lewis index (TLI)), and to test the developed hypothesis with structural equation modeling (SEM). The findings of the CFA result indicated that data fit the model reasonably well. And the results of SEM confirmed that the identified four AM best practices positively and significantly improves supply chain performance. And this study concludes that manufacturing flexibility, material utilization, environmental control and product design optimization of AM plays a vital role in improving SC performance.
Key words: - Additive manufacturing, supply chain, best practice, footwear industry
| Conference Topic Areas | Track8: Design Optimization, Additive Manufacturing Technologies & Applications |
|---|
